
Atlasemoji MCP server
Which servers in the official MCP registry are Atlasemoji's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-24
- Registry namecom.atlasemoji/mcpverified in the MCP registry
The registry name sits under atlasemoji.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-24
- Tools19
- Server calls itselfAtlasemoji MCP
- Server version0.2.0
- Protocol version2025-06-18
On 2026-10-24 the server answered initialize and tools/list without a sign-in. First answer in 93 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 2 of the 7 days it takes to judge reliability.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
- Answeredmeasuring2 of the 7 daily checks it takes to print a share
- Median first answer152 ms
- Space in an agent's context≈ 4,270 tokensthe definitions of all its tools (19), which an agent carries on every turn
- Tool definitionsA · 97 of 100
- Typed results1 of 19 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 3 of 19
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
list_capabilitiesDiscover how Atlasemoji supports Atlas DataSynch, GIS, geofencing, CRM, inventory, Atlas Intercept, handheld scanning, APIs, integrations, routing, storytelling, learning, and partner workflows. Returns the related public APIs, partner…
get_atlas_profileReturn the Atlasemoji profile represented by the current authenticated MCP credentials so ChatGPT can identify the connected Atlas account. This operation is read-only and never accepts a user or account identifier from the model.
verify_atlas_agentComplete proof of life for an already configured Atlas Agent MCP connection. The authenticated MCP principal must be authorized for the requested company and for this tool. Atlas verifies that the connection belongs to the requested Agent…
get_datasynch_run_statusSupport Atlas DataSynch operations by retrieving recent processing and workflow status for an authorized company, workspace, or manifest. Agents can use the result to explain integration progress, identify stalled activity, and understand…
get_failed_runsHelp support, implementation, operations, and partner agents investigate failed Atlas DataSynch activity across APIs, files, EDI, EDIFACT, cXML, mappings, inventory, telemetry, locations, and downstream workflows. Returns authorized…
validate_manifest_schemaPrepare geographic and operational manifest data for Atlasemoji use. Checks the supplied manifest structure, durable identity, locations, addresses, and coordinates before the data is used with workspaces, routes, storytelling…
get_manifest_summaryRetrieve authorized Atlasemoji manifest context so an agent can understand the places, routes, boundaries, layers, records, workflow purpose, workspace relationship, and operational context represented by the manifest.
validate_coordinatesPrepare latitude and longitude values for Atlasemoji maps, routes, geofences, telemetry, mobile events, customer locations, assets, vessels, aircraft, storytelling, and operational workflows by checking accepted geographic ranges and…
validate_geojsonPrepare GeoJSON features, collections, points, lines, polygons, and geometry collections for Atlasemoji maps, routes, service areas, stories, manifests, geofences, learning exercises, APIs, and location-aware workflows by checking their…
detect_location_columnsIdentify address, city, state, province, region, postal code, latitude, and longitude fields in supplied business or operational records so they can be connected to Atlasemoji locations, customer sites, facilities, routes, territories…
preview_geofencePrepare a radius-based geofence for an Atlasemoji location-aware workflow. Helps agents and users evaluate the proposed center, radius, coverage area, label, and tenant context before using production geofencing for movement, scans…
check_point_in_geofenceEvaluate whether a vehicle, shipment, mobile device, scan, person-authorized location event, asset, aircraft, vessel, or other coordinate is inside a proposed radius boundary used in Atlasemoji geofencing and event-driven workflows.
detect_file_schemaAnalyze a bounded preview of CSV, spreadsheet, JSON, EDI-normalized, EDIFACT-normalized, cXML-derived, inventory, telemetry, CRM, item, location, shipment, or partner records to identify their structure and determine how they may fit…
preview_datasynch_rowsReview a bounded preview of partner, customer, ERP, WMS, TMS, CRM, inventory, telemetry, location, API, spreadsheet, EDI-normalized, EDIFACT-normalized, or cXML-derived records in the context of an authorized Atlasemoji company…
suggest_field_mappingSuggest an initial bridge between external partner, API, ERP, WMS, TMS, CRM, file, EDI-normalized, EDIFACT-normalized, cXML-derived, inventory, telemetry, item, and location fields and common Atlasemoji data targets. Intended to support…
summarize_workspace_activitySummarize recent authorized activity across an Atlasemoji company, workspace, or manifest so agents can explain what has happened across DataSynch, locations, manifests, integrations, telemetry, exceptions, inventory, partner workflows…
wanderloop.research_placeAssemble a cited, geographically grounded Wanderloop research package for a location. Queries Atlasemoji-approved historical, archival, academic, environmental, wildlife, and place-record providers through the same provider registry used…
wanderloop.get_manifestRetrieve a previously saved Wanderloop topic or place-research manifest by manifest ID, including its normalized provider evidence, statuses, map data, citations, and source links when available.
wanderloop.list_provider_capabilitiesList every registered Wanderloop source integration without dropping unavailable or unconfigured providers. Returns provider identity, current topic assignment, execution mode, and required environment configuration so an agent can…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"atlasemoji": {
"type": "http",
"url": "https://atlasemoji.com/api/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http atlasemoji https://atlasemoji.com/api/mcpclaude.ai, ChatGPT and other clients: add https://atlasemoji.com/api/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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